> For the complete documentation index, see [llms.txt](https://skillful-ai.gitbook.io/plans-and-info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://skillful-ai.gitbook.io/plans-and-info/glossary.md).

# Glossary

**LLM** - Large language model, such as gpt or Llama families. They work on text, and usually text only.

**Stable Diffusion** - This is typically your image generation models, or anything visual

**Custom LLM** - A LLM that you have customised in some way. Usually in one of the two following ways.\
                a) Fine tuning\
                b) Prompt engineering

**Fine-tuning** - Modifying the weights of an existing LLM, with the goal of adding data or efficiency, usually in 1 specific topic

**Prompt-Engineering** - This is a quicker version to get specific results of ( fine-tuning, but separate in technical execution), by adding specific context and instructions before a question, prompt-engineering allows to get more consistent answers, without the need of fine-tuning

**Character** - This is the term we use for the templates we use to prompt, as they are set up to allow users to turn LLMs into "characters" or "job specialists" 

**Agents** - An LLM(s) that are connected together with external tools, capable of completing tasks that are more extensive that simple chatting or data fetching.

**Personalised Agents** - Agents that have had specific data to help them get better in a task, usually by prompt-engineering, or by fine-tuning an LLM with custom data sets. 

**Prompting** - Adding additional context to your messages to guide a model

**Model** - Synonym for either LLM or Stable Diffusion systems. I should not use it as such, but that is how I use it